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• W2529672087 abstract "Volumetric tumor growth velocity (TGV) reflects in vitro tumor aggressiveness, but its prognostic significance has not been empirically investigated in vivo. We hypothesized that higher pretreatment TGV would have negative prognostic effects on oncologic outcomes in head and neck cancer. We performed a retrospective analysis of 3-D TGV in patients with oropharyngeal cancer treated with IMRT at a single institution between 2004 and 2008. 93 patients met inclusion criteria of squamous histology, two pretreatment CTs with radiographically visible tumors, and scan time gap of more than 2 weeks. Volumetric data was collected using Velocity AI v.3.01 commercial software (Varian Medical Systems, Atlanta, GA) to segment primary tumor targets. Linear growth rates were calculated from the serial scans. TGV is calculated as percent increase of tumor volume per day. Demographic, treatment, and outcome information was obtained from patient charts. Recursive partitioning analysis (RPA) was used to identify cut points associated with outcomes. Kaplan-Meier calculations were used to evaluate disease control and overall survival. Comparisons between groups were made using Wilcoxon tests. Cox regression, univariate, and multivariate analyses were also performed. Median follow-up was 59 months (range 7-118). The majority of patients (74%) underwent concurrent chemoradiation. Mean pretreatment TGV was 2% ± 3.6% per day. RPA identified TGV cut point of 1.8% per day associated with local recurrence. Patients with daily TGV ≥ 1.8% had significantly worse 5-year local control (P < 0.0001) and overall survival (P < 0.0001) than patients with lower TGV, as shown in Table 1 below.Abstract 2838; Table 1.n5-year local control (LC)5-year overall survival (OS)TGV ≥ 1.8%1770%41%TGV < 1.8%7594%79%Table 1. 5-year LC and OS stratified by TGV cut point of 1.8% per day Univariate analysis also showed that higher TGV predicts worse LC (HR 6.6; 95% CI 1.7-27, P = 0.006) and OS (HR 3.9; 95% CI 1.7-8.6, P = 0.002). Multivariate analysis of age, sex, ethnicity, T stage, overall AJCC stage, and HPV status suggested that higher TGV is an independent predictor of LC (HR 6.3; 95% CI 1.3 – 32, P = 0.02) and OS (HR 3.4; 95% CI 1.3-8.3, P = 0.01). Open table in a new tab Table 1. 5-year LC and OS stratified by TGV cut point of 1.8% per day Univariate analysis also showed that higher TGV predicts worse LC (HR 6.6; 95% CI 1.7-27, P = 0.006) and OS (HR 3.9; 95% CI 1.7-8.6, P = 0.002). Multivariate analysis of age, sex, ethnicity, T stage, overall AJCC stage, and HPV status suggested that higher TGV is an independent predictor of LC (HR 6.3; 95% CI 1.3 – 32, P = 0.02) and OS (HR 3.4; 95% CI 1.3-8.3, P = 0.01). Oropharyngeal cancer TGV ≥ 1.8% per day is a substantive negative prognostic indicator for local control and overall survival. This novel quantitative CT-based volumetric assessment of TGV suggests a simple methodology for stratification of patients into a distinct risk group for which treatment and screening strategies could be optimized." @default.
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• W2529672087 date "2016-10-01" @default.
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• W2529672087 title "Pretreatment Computed Tomography–Based Volumetric Tumor Growth Velocity: A Novel Prognostic Indicator for Head and Neck Cancer" @default.
• W2529672087 doi "https://doi.org/10.1016/j.ijrobp.2016.06.1485" @default.
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